The z - score of the normal deviation will be 0.8.
What is Standard deviation?
Standard deviation is the measure of dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out.
Given that;
A normal distribution has the mean = 62
Standard deviation = 20
Since, The formula for the z - score will be;
z = (x - μ) / σ
Where, σ is the standard deviation and μ is the mean of normal distribution.
Substitute all the values in above equation, we get;
z = (x - μ) / σ
z = (46 - 62) / 20
z = - 16 / 20
z = - 0.8
Therefore,
The z - score of the normal deviation will be 0.8.
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